The SKZ111B-2 PRO Digital Grain Moisture Meter, intended for agricultural producers, grain storage facilities, seed processing plants and direct grain inspections, offers the best of both worlds — lab-like precision in a field-ready design. The design is inspired by Poland's DRAMINSKI TwistGrain professional line and combines the diverse needs of commercial agricultural moisture-testing with the latest technology to provide customized measurement capabilities for moisture analysis of grains, seeds and oil-bearing seeds. This advanced grain moisture meter helps ensure optimum storage quality through minimization of spoilage and improvement of grading processes.
With consideration of agricultural moisture-testing applications, the meter provides two distinct measuring ranges that provide precision measurements across all crop types, grain and seed (8-35% moisture range, suitable for the majority of cereals, legumes and undried seed types) and oil seed (5-25% moisture), which is specifically designed for lower moisture, oil-bearing crops, such as develop rapeseed, sunflower seed, and ground nuts. The meter is capable of supporting 40 various types of crops and seed types in total, covering nearly all popular crops grown in agriculture today, removing the necessity to use multiple specialised moisture meters which has made it an important part of testing at significant level farms, grain storage depots and seed businesses.
Engineered specifically for the ease of use while in the field, the SKZ111B-2 PRO features several humanised designs that improve the user experience. The DRAMINSKI TwistGrain's pro type-style appearance includes an ergonomic non-slip design, compact size and durable build so it fits easily into a single hand for long duration field testing. The tightly packed construction offers added durability against dust and very minor bumps in a typical agricultural setting. An audio alert notifies users when the top cap of the meter is properly secured, allowing for a hermetically sealed measurement chamber, thereby eliminating errors related to environmental conditions that may have negatively impacted the measurement result.
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